supremebrief demo pdf version 2

SupremeBrief Summarizing Legal Cases with NLP

Andrew Koo - Insight Data Science

Bush v. Gore (2000) - 121 S.Ct. 525

Bush v. Gore (121 S.Ct. 525)

In this instance, however, the question is not whether to believe a witness but how to interpret the marks or holes or scratches on an inanimate object, a piece of cardboard or paper which, it is said, might not have registered as a vote during the machine count.

What Counts as a Legal Vote?

Neural Network (word2vec)Vectorizing: The neural network finds features which are vector representations of the word

Calculating:

Ranking: Rank the sentences in the graph by applying PageRank

vector(Sentence)= mean( vector(Words) )

Converting: Use the sentence vectors and their cosine similarities to create a graph

Training: Use 120K documents to train a neural network model optimizing Θ so that it maximizes p(w |c)

U.S. Constitution

U.S. Government

U.S. Laws

U.S. Courts

Validation with 1000 Human Written Summaries

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LSA Luhn TextRank TextRank NN 1K NN 120K

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Sumy scikit-learn word2vec

Andrew Koo